| |
Nov 28, 2024
|
|
|
|
|
ARCHIVED 2018-2019 Graduate Catalog [ARCHIVED CATALOG]
|
CSC 564 - Data Mining 3.00 credit hours
An introduction to data mining in the context of KDD (Knowledge Discovery and Data Mining), covering the three main phases of the KDD process: preprocessing, data extraction and data analysis. Includes data cleaning and preparation techniques; extraction methods such as deviation detection, classification, dependency modeling and clustering; statistical analysis; and visualization techniques. Students may not receive credit for both CSC 464 and CSC 564.
Prerequisite(s): CSC 560 .
Click here for the schedule of classes.
|
|
